We have over 80 students between our Ph.D. in Scientific Computing and the Graduate Certificate in Computational Discovery and Engineering. The students come from five different schools and colleges, and 30 percent are women. We also have partnered with the Multidisciplinary Design Program to offer our Masters students the experience to work on industrial projects and gain practicum credits.
Our faculty have designed two courses that are being offered for the first time: Methods and Practices of Scientific Computing in Fall 2016 and Data-Driven Analysis and Modeling of Complex Systems in Winter 2017. Methods and Practices of Scientific Computing has gathered a tremendous amount of interest, and very quickly was over-subscribed. Data-Driven Analysis and Modeling of Complex Systems is a fast paced research area that combines scientific computing with big data to improve the existing models’ accuracy and representation of physical and biological systems.
We have brought a large community of students together by sponsoring and helping found the Scientific Computing Student Club. Its goal is to become a place for all students that use or want to use high performance computing to meet, share ideas, and find peer-to-peer help. It started in February, with social gatherings, talks from expert speakers, and more. The club has nearly 200 members, including undergraduates, graduate students, and postdocs from six U-M schools and colleges.